A Correction to this paper has been published: https://doi.org/10.1007/s11042-021-11211-5

The major limitation in current facial recognition systems is that they do not perform very well in uncontrolled environments, that is, when faces present variations in pose, illumination, facial expressions and environment. This is a serious obstacle in applications such as law enforcement and surveillance systems. To address this limitation, in this paper we introduce an improved approach to ...

In this paper, we propose a novel multi-state contextual hidden Markov model (MCHMM) in the non-subsampled Shearlet transform (NSST) domain for image fusion. The traditional two-state divides multi-scale coefficients only into large and small states, which can lead to an inaccurate statistical reduce quality of fusion result. Our method improves upon by developing soft context variable provide ...

Nowadays many MRI scans can give 3D volume data with different contrasts, but the observers may want to view various contrasts in the same 3D volume. The conventional 2D medical fusion methods can only fuse the 3D volume data layer by layer, which may lead to the loss of interframe correlative information. In this paper, a novel 3D medical volume fusion method based on 3D band limited shearlet ...

Due to the increasing number of images on Internet, image retrieval framework is needed for image-based search. Shearlet transform a sparse, multiscale, and multidimensional representation used extract anisotropic features in processing applications such as fusion denoising. In this paper, we proposed color texture based domain modeling using Copula multivariate model. framework, Gaussian model...

We regard the shearlet group as a semidirect product group and show that its standard representation is,typically, a quasiregu- lar representation. As a result we can characterize irreducible as well as square-integrable subrepresentations of the shearlet group.

Microscopic images are becoming important and need to be studied know the details how-to quantitatively evaluate decellularization. Most of existing research focuses on deep learning-based techniques that lack simplification for A new computational method segmentation microscopy based shearlet neural network (SNN) has been introduced. The proposal is link concept shearlets transform networks in...

<span lang="EN-US">Face recognition has been using in a variety of applications like preventing retail crime, unlocking phones, smart advertising, finding missing persons, and protecting law enforcement. However, the ability face techniques reduces substantially because changes pose, illumination, expressions individual. In this paper, novel approach based on non-subsampled shearlet trans...